# microsoft/AI

Microsoft AI

Repository: https://github.com/microsoft/AI
Canonical: https://ross.abutalabs.com/products/microsoft-ai
Homepage: https://www.microsoft.com/ai
Language: Python
License: MIT
License Family: permissive
Last push: 2025-05-10T20:24:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 20, release rhythm 8, longevity 100
- inputs: {"age_days": 2555, "days_push": 480, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2768, forks 736 (observed 2026-08-28T04:07:18.716967+00:00)

## What it is
A curated index of Microsoft's open-source AI repositories, organized into samples (AI100), reference architectures (AI200), and best practices (AI300). It serves as a directory and learning hub covering topics like MLOps, batch and realtime scoring, computer vision, and NLP.

## Use cases
- find microsoft open source ai projects
- learn mlops best practices
- find azure machine learning sample code
- reference architectures for ai workloads
- learn computer vision and nlp with microsoft tools
- examples of batch and realtime model scoring

## When to choose
- you want a curated starting point for Microsoft's AI ecosystem
- you need sample code and architecture guidance for Azure ML projects
- you are learning MLOps or AI engineering practices

## When to avoid
- you need a runnable library or framework rather than links and docs
- you want vendor-neutral AI tooling
- you need production code rather than examples and guidance

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation, machine-learning
- domain: artificial-intelligence, machine-learning, awesome-lists, tutorials, developer-tools
- platform: python, cloud, cross-platform
- tags: awesome-list, microsoft, samples, reference-architectures, mlops, best-practices, azure-machine-learning

## Member repositories
- microsoft/AI (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:18.716967+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:16:42.634513+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/AI (fetched 2026-08-28T04:07:18.716967+00:00, sha 4a7e1fb03806)
  - homepage: https://www.microsoft.com/ai (fetched 2026-08-29T09:56:17.026617+00:00, sha 5b091318da82)
  - site_page: https://www.microsoft.com/about (fetched 2026-08-29T09:56:17.040060+00:00, sha 91f15664f61d)
  - site_page: https://learn.microsoft.com/en-in/industry (fetched 2026-08-29T09:56:17.036203+00:00, sha 3cd27ecf7b17)
- Data as of 2026-08-30T08:39:29.467469+00:00.